There is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Walking intrigues the deskbound. We romanticize it, but do we do it justice? Do we walk properly? Can one walk improperly and, if so, what happens when the walk is corrected?
This talk centered on Hamming's observations and research on the question "Why do so few scientists make significant contributions and so many are forgotten in the long run?"
Now, I understand deadlines. I understand that the plane will take off whether or not I’m on it, or the importance of beating the holiday retail rush, or that "the show must go on". It is perfectly clear to me how people use timekeeping technology to coordinate social activity. It’s actually quite remarkable when you step back and look at it. But, over the years, I have observed that there is a difference between those examples and the ones around the delivery of Things, which tend to be completely arbitrary. When you wrap an arbitrarily complex endeavor up in a neat launch date, the goal seems to be more about coercing the people beneath you to absorb the overhead of all the details you left out—that or sweating it yourself. As a tool for coordinating human activity, I have come to believe that the Thing-deadline calculus is, considering more sophisticated alternatives, unnecessarily crude.